Speaker: Juncheng Yang
Ph.D. student @CarnegieMellon, Focus on Efficiency and Performance, Previously @Twitter & @Cloudflare, Facebook Fellow
As a 5th-year Ph.D. student at Carnegie Mellon University and part of Parallel Data Lab, Juncheng's research studies and improves the efficiency, performance, and reliability of large-scale web applications with a current focus on caching systems.
His works in collaboration with Twitter, Meta, Google, and Akamai have been published at various academic conferences such as OSDI, NSDI, SOSP, and SOCC and have won multiple best paper awards.
One of the designs, Segcache, a high-throughput, space-efficient in-memory cache, has been in production at Twitter.
Besides being a Ph.D. student, he worked at Twitter and Cloudflare, improving the cache infrastructure's efficiency. Moreover, his research is sponsored by Meta, and he is a Facebook Fellow.
Session
Panel: Building Modern Backends
Join today’s speakers in an open panel conversation about modern backends and the languages used to build them. Our panelists today come from backgrounds focused on high performance, legacy modernization, and low latency. The speakers span a variety of software languages and industries.
Date
Monday Oct 24 / 02:55PM PDT ( 50 minutes )
Location
Ballroom BC
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Session
Ubiquitous Caching: A Journey of Building Efficient Distributed and In-Process Caches at Twitter
Modern web applications widely deploy cache across the stack to speed up data access and improve throughput.
In this talk, I will discuss three trends in hardware, workload, and cache usage that shape the design of modern caches.
Date
Monday Oct 24 / 01:40PM PDT ( 50 minutes )
Location
Ballroom A